Webinars & Workshops

Part 1: How to Shrink Your Domain of Regulatory Compliance

AI adoption is moving faster than governance, and unaware workforces are using public GenAI tools and private LLMs to process business data. Without proper AI data governance, AI systems can easily ingest regulated and confidential information, creating compliance, security, and privacy risks for your business.

Join our live webinar to learn why AI initiatives stall at the governance layer, how data readiness and lifecycle management can help you reduce risk, and what it takes to enable responsible AI adoption across the enterprise.

 Part 2: How to Implement an AI Data Governance Gatekeeper Solution

Many organizations have defined AI governance and data classification policies, but struggle with a critical question: where and how should AI data governance controls actually be enforced? As data moves across endpoints, mobile devices, networks, and cloud environments, sensitive information can be ingested into  GenAI systems without visibility or intervention.

Join us to learn how to deploy AI data governance gatekeeper solutions across your IT infrastructure to maintain visibility and observability across AI dataflows, and what it takes to enforce AI data governance policies before data ever reaches a GenAI or LLM application.

Part 3: How to Operationalize AI Data Governance with People, Process, & Technology

Many organizations have already defined their AI governance and AI data governance frameworks, but struggle to move from policy to execution. Policies alone don’t ensure compliance if the workforce isn’t trained, processes aren’t aligned, and technology isn’t providing continuous visibility. Without readiness across these areas, even well-designed governance models fail to scale.

Join this webinar to learn how to move from intent to execution by operationalizing your AI data governance controls. This session focuses on workforce readiness, data governance workflows, and technology enablement required to ensure AI data governance is consistently applied across public and private GenAI and LLM use.